Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong
Abstract
In the Noisy Intermediate Scale Quantum (NISQ) era, the dynamic nature of quantum systems causes noise sources to constantly vary over time. Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-running, and therefore their timely mitigation is important for quantum advantage in real-world applications.
Topics & Concepts
Noise (video)Computer scienceQuantumScale (ratio)AlgorithmQuantum computerQuantum algorithmTheoretical computer scienceComputer engineeringArtificial intelligencePhysicsQuantum mechanicsImage (mathematics)Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum and electron transport phenomena